tf

Path	Dimensions	Type	Units	Description
tf (alpha)				Toroidal field coils
tf.b_field_tor_vacuum_r (alpha)		STRUCTURE	T.m	Vacuum field times major radius in the toroidal field magnet. Positive sign means anti-clockwise when viewed from above
tf.b_field_tor_vacuum_r.data (alpha)	[tf.b_field_tor_vacuum_r.time]	FLT_1D (uncertain)	T.m	Data
tf.b_field_tor_vacuum_r.time (alpha)	[1...N]	FLT_1D_TYPE	s	Time
tf.code (alpha)		STRUCTURE		Generic decription of the code-specific parameters for the code that has produced this IDS
tf.code.commit (alpha)		STR_0D		Unique commit reference of software
tf.code.description (alpha)		STR_0D		Short description of the software (type, purpose)
tf.code.library (alpha)	[1...N]	STRUCT_ARRAY		List of external libraries used by the code that has produced this IDS
tf.code.library[:].commit (alpha)		STR_0D		Unique commit reference of software
tf.code.library[:].description (alpha)		STR_0D		Short description of the software (type, purpose)
tf.code.library[:].name (alpha)		STR_0D		Name of software
tf.code.library[:].parameters (alpha)		STR_0D		List of the code specific parameters in XML format
tf.code.library[:].repository (alpha)		STR_0D		URL of software repository
tf.code.library[:].version (alpha)		STR_0D		Unique version (tag) of software
tf.code.name (alpha)		STR_0D		Name of software generating IDS
tf.code.output_flag (alpha)	[tf.time]	INT_1D		Output flag : 0 means the run is successful, other values mean some difficulty has been encountered, the exact meaning is then code specific. Negative values mean the result shall not be used.
tf.code.parameters (alpha)		STR_0D		List of the code specific parameters in XML format
tf.code.repository (alpha)		STR_0D		URL of software repository
tf.code.version (alpha)		STR_0D		Unique version (tag) of software
tf.coil (alpha)	[1...N]	STRUCT_ARRAY		Set of coils around the tokamak
tf.coil[:].conductor (alpha)	[1...N]	STRUCT_ARRAY		Set of conductors inside the coil. The structure can be used with size 1 for a simplified description as a single conductor. A conductor is composed of several elements, serially connected, i.e. transporting the same current.
tf.coil[:].conductor[:].cross_section (alpha)		STRUCTURE		The cross-section perpendicular to the TF conductor contour is described by a series of contour points, given by their relative position with respect to the start point of the first element. This cross-section is assumed constant for all elements.
tf.coil[:].conductor[:].cross_section.delta_phi (alpha)	[tf.coil[:].conductor[:].cross_section.delta_r]	FLT_1D (uncertain)	rad	Toroidal angles (relative to a reference point)
tf.coil[:].conductor[:].cross_section.delta_r (alpha)	[1...N]	FLT_1D (uncertain)	m	Major radii (relative to a reference point)
tf.coil[:].conductor[:].cross_section.delta_z (alpha)	[tf.coil[:].conductor[:].cross_section.delta_r]	FLT_1D (uncertain)	m	Heights (relative to a reference point)
tf.coil[:].conductor[:].current (alpha)		STRUCTURE	A	Current in the conductor (positive when it flows from the first to the last element)
tf.coil[:].conductor[:].current.data (alpha)	[tf.coil[:].conductor[:].current.time]	FLT_1D (uncertain)	A	Data
tf.coil[:].conductor[:].current.time (alpha)	[1...N]	FLT_1D_TYPE	s	Time
tf.coil[:].conductor[:].elements (alpha)		STRUCTURE		Set of geometrical elements (line segments and/or arcs of a circle) describing the contour of the TF conductor centre
tf.coil[:].conductor[:].elements.centres (alpha)		STRUCTURE		Position of the centre of the arc of a circle of every element (meaningful only if type/index = 2 or 3, fill with default/empty value otherwise)
tf.coil[:].conductor[:].elements.centres.phi (alpha)	[tf.coil[:].conductor[:].elements.centres.r]	FLT_1D (uncertain)	rad	Toroidal angle (oriented counter-clockwise when viewing from above)
tf.coil[:].conductor[:].elements.centres.r (alpha)	[1...N]	FLT_1D (uncertain)	m	Major radius
tf.coil[:].conductor[:].elements.centres.z (alpha)	[tf.coil[:].conductor[:].elements.centres.r]	FLT_1D (uncertain)	m	Height
tf.coil[:].conductor[:].elements.end_points (alpha)		STRUCTURE		Position of the end point of every element. Meaningful only if type/index = 1 or 2, fill with default/empty value otherwise
tf.coil[:].conductor[:].elements.end_points.phi (alpha)	[tf.coil[:].conductor[:].elements.end_points.r]	FLT_1D (uncertain)	rad	Toroidal angle (oriented counter-clockwise when viewing from above)
tf.coil[:].conductor[:].elements.end_points.r (alpha)	[1...N]	FLT_1D (uncertain)	m	Major radius
tf.coil[:].conductor[:].elements.end_points.z (alpha)	[tf.coil[:].conductor[:].elements.end_points.r]	FLT_1D (uncertain)	m	Height
tf.coil[:].conductor[:].elements.intermediate_points (alpha)		STRUCTURE		Position of an intermediate point along the arc of circle, for every element, providing the orientation of the element (must define with the corresponding start point an aperture angle strictly inferior to PI). Meaningful only if type/index = 2, fill with default/empty value otherwise
tf.coil[:].conductor[:].elements.intermediate_points.phi (alpha)	[tf.coil[:].conductor[:].elements.intermediate_points.r]	FLT_1D (uncertain)	rad	Toroidal angle (oriented counter-clockwise when viewing from above)
tf.coil[:].conductor[:].elements.intermediate_points.r (alpha)	[1...N]	FLT_1D (uncertain)	m	Major radius
tf.coil[:].conductor[:].elements.intermediate_points.z (alpha)	[tf.coil[:].conductor[:].elements.intermediate_points.r]	FLT_1D (uncertain)	m	Height
tf.coil[:].conductor[:].elements.names (alpha)	[1...N]	STR_1D		Name or description of every element
tf.coil[:].conductor[:].elements.start_points (alpha)		STRUCTURE		Position of the start point of every element
tf.coil[:].conductor[:].elements.start_points.phi (alpha)	[tf.coil[:].conductor[:].elements.start_points.r]	FLT_1D (uncertain)	rad	Toroidal angle (oriented counter-clockwise when viewing from above)
tf.coil[:].conductor[:].elements.start_points.r (alpha)	[1...N]	FLT_1D (uncertain)	m	Major radius
tf.coil[:].conductor[:].elements.start_points.z (alpha)	[tf.coil[:].conductor[:].elements.start_points.r]	FLT_1D (uncertain)	m	Height
tf.coil[:].conductor[:].elements.types (alpha)	[tf.coil[:].conductor[:].elements.names]	INT_1D		Type of every element: 1: line segment, its ends are given by the start and end points; index = 2: arc of a circle; index = 3: full circle
tf.coil[:].conductor[:].resistance (alpha)		FLT_0D (uncertain)	Ohm	conductor resistance
tf.coil[:].conductor[:].voltage (alpha)		STRUCTURE	V	Voltage on the conductor terminals
tf.coil[:].conductor[:].voltage.data (alpha)	[tf.coil[:].conductor[:].voltage.time]	FLT_1D (uncertain)	V	Data
tf.coil[:].conductor[:].voltage.time (alpha)	[1...N]	FLT_1D_TYPE	s	Time
tf.coil[:].current (alpha)		STRUCTURE	A	Current in the coil
tf.coil[:].current.data (alpha)	[tf.coil[:].current.time]	FLT_1D (uncertain)	A	Data
tf.coil[:].current.time (alpha)	[1...N]	FLT_1D_TYPE	s	Time
tf.coil[:].identifier (alpha)		STR_0D		Alphanumeric identifier of coil used for convenience
tf.coil[:].name (alpha)		STR_0D		Name of the coil
tf.coil[:].resistance (alpha)		FLT_0D (uncertain)	Ohm	Coil resistance
tf.coil[:].turns (alpha)		FLT_0D (uncertain)	-	Number of total turns in a toroidal field coil. May be a fraction when describing the coil connections.
tf.coil[:].voltage (alpha)		STRUCTURE	V	Voltage on the coil terminals
tf.coil[:].voltage.data (alpha)	[tf.coil[:].voltage.time]	FLT_1D (uncertain)	V	Data
tf.coil[:].voltage.time (alpha)	[1...N]	FLT_1D_TYPE	s	Time
tf.coils_n (alpha)		INT_0D		Number of coils around the torus, in case is_periodic = 1
tf.delta_b_field_tor_vacuum_r (alpha)		STRUCTURE	T.m	Variation of (vacuum field times major radius in the toroidal field magnet) from the start of the plasma.
tf.delta_b_field_tor_vacuum_r.data (alpha)	[tf.delta_b_field_tor_vacuum_r.time]	FLT_1D (uncertain)	T.m	Data
tf.delta_b_field_tor_vacuum_r.time (alpha)	[1...N]	FLT_1D_TYPE	s	Time
tf.field_map (alpha)	[tf.field_map[:].time]	STRUCT_ARRAY		Map of the vacuum field at various time slices, represented using the generic grid description
tf.field_map[:].a_field_r (alpha)	[1...N]	STRUCT_ARRAY	T.m	R component of the vacuum vector potential, given on various grid subsets
tf.field_map[:].a_field_r[:].coefficients (alpha)	[tf.field_map[:].a_field_r[:].values, 1...N]	FLT_2D (uncertain)	T.m	Interpolation coefficients, to be used for a high precision evaluation of the physical quantity with finite elements, provided per element in the grid subset (first dimension).
tf.field_map[:].a_field_r[:].grid_index (alpha)		INT_0D		Index of the grid used to represent this quantity
tf.field_map[:].a_field_r[:].grid_subset_index (alpha)		INT_0D		Index of the grid subset the data is provided on. Corresponds to the index used in the grid subset definition: grid_subset(:)/identifier/index
tf.field_map[:].a_field_r[:].values (alpha)	[1...N]	FLT_1D (uncertain)	T.m	One scalar value is provided per element in the grid subset.
tf.field_map[:].a_field_tor (alpha)	[1...N]	STRUCT_ARRAY	T.m	Toroidal component of the vacuum vector potential, given on various grid subsets
tf.field_map[:].a_field_tor[:].coefficients (alpha)	[tf.field_map[:].a_field_tor[:].values, 1...N]	FLT_2D (uncertain)	T.m	Interpolation coefficients, to be used for a high precision evaluation of the physical quantity with finite elements, provided per element in the grid subset (first dimension).
tf.field_map[:].a_field_tor[:].grid_index (alpha)		INT_0D		Index of the grid used to represent this quantity
tf.field_map[:].a_field_tor[:].grid_subset_index (alpha)		INT_0D		Index of the grid subset the data is provided on. Corresponds to the index used in the grid subset definition: grid_subset(:)/identifier/index
tf.field_map[:].a_field_tor[:].values (alpha)	[1...N]	FLT_1D (uncertain)	T.m	One scalar value is provided per element in the grid subset.
tf.field_map[:].a_field_z (alpha)	[1...N]	STRUCT_ARRAY	T.m	Z component of the vacuum vector potential, given on various grid subsets
tf.field_map[:].a_field_z[:].coefficients (alpha)	[tf.field_map[:].a_field_z[:].values, 1...N]	FLT_2D (uncertain)	T.m	Interpolation coefficients, to be used for a high precision evaluation of the physical quantity with finite elements, provided per element in the grid subset (first dimension).
tf.field_map[:].a_field_z[:].grid_index (alpha)		INT_0D		Index of the grid used to represent this quantity
tf.field_map[:].a_field_z[:].grid_subset_index (alpha)		INT_0D		Index of the grid subset the data is provided on. Corresponds to the index used in the grid subset definition: grid_subset(:)/identifier/index
tf.field_map[:].a_field_z[:].values (alpha)	[1...N]	FLT_1D (uncertain)	T.m	One scalar value is provided per element in the grid subset.
tf.field_map[:].b_field_r (alpha)	[1...N]	STRUCT_ARRAY	T	R component of the vacuum magnetic field, given on various grid subsets
tf.field_map[:].b_field_r[:].coefficients (alpha)	[tf.field_map[:].b_field_r[:].values, 1...N]	FLT_2D (uncertain)	T	Interpolation coefficients, to be used for a high precision evaluation of the physical quantity with finite elements, provided per element in the grid subset (first dimension).
tf.field_map[:].b_field_r[:].grid_index (alpha)		INT_0D		Index of the grid used to represent this quantity
tf.field_map[:].b_field_r[:].grid_subset_index (alpha)		INT_0D		Index of the grid subset the data is provided on. Corresponds to the index used in the grid subset definition: grid_subset(:)/identifier/index
tf.field_map[:].b_field_r[:].values (alpha)	[1...N]	FLT_1D (uncertain)	T	One scalar value is provided per element in the grid subset.
tf.field_map[:].b_field_tor (alpha)	[1...N]	STRUCT_ARRAY	T	Toroidal component of the vacuum magnetic field, given on various grid subsets
tf.field_map[:].b_field_tor[:].coefficients (alpha)	[tf.field_map[:].b_field_tor[:].values, 1...N]	FLT_2D (uncertain)	T	Interpolation coefficients, to be used for a high precision evaluation of the physical quantity with finite elements, provided per element in the grid subset (first dimension).
tf.field_map[:].b_field_tor[:].grid_index (alpha)		INT_0D		Index of the grid used to represent this quantity
tf.field_map[:].b_field_tor[:].grid_subset_index (alpha)		INT_0D		Index of the grid subset the data is provided on. Corresponds to the index used in the grid subset definition: grid_subset(:)/identifier/index
tf.field_map[:].b_field_tor[:].values (alpha)	[1...N]	FLT_1D (uncertain)	T	One scalar value is provided per element in the grid subset.
tf.field_map[:].b_field_z (alpha)	[1...N]	STRUCT_ARRAY	T	Z component of the vacuum magnetic field, given on various grid subsets
tf.field_map[:].b_field_z[:].coefficients (alpha)	[tf.field_map[:].b_field_z[:].values, 1...N]	FLT_2D (uncertain)	T	Interpolation coefficients, to be used for a high precision evaluation of the physical quantity with finite elements, provided per element in the grid subset (first dimension).
tf.field_map[:].b_field_z[:].grid_index (alpha)		INT_0D		Index of the grid used to represent this quantity
tf.field_map[:].b_field_z[:].grid_subset_index (alpha)		INT_0D		Index of the grid subset the data is provided on. Corresponds to the index used in the grid subset definition: grid_subset(:)/identifier/index
tf.field_map[:].b_field_z[:].values (alpha)	[1...N]	FLT_1D (uncertain)	T	One scalar value is provided per element in the grid subset.
tf.field_map[:].grid (alpha)		STRUCTURE		Grid description
tf.field_map[:].grid.grid_subset (alpha)	[1...N]	STRUCT_ARRAY		Grid subsets
tf.field_map[:].grid.grid_subset[:].base (alpha)	[1...N]	STRUCT_ARRAY		Set of bases for the grid subset. For each base, the structure describes the projection of the base vectors on the canonical frame of the grid.
tf.field_map[:].grid.grid_subset[:].base[:].jacobian (alpha)	[tf.field_map[:].grid.grid_subset[:].element]	FLT_1D (uncertain)	mixed	Metric Jacobian
tf.field_map[:].grid.grid_subset[:].base[:].tensor_contravariant (alpha)	[tf.field_map[:].grid.grid_subset[:].element, 1...N, 1...N]	FLT_3D (uncertain)	mixed	Contravariant metric tensor, given on each element of the subgrid (first dimension)
tf.field_map[:].grid.grid_subset[:].base[:].tensor_covariant (alpha)	[tf.field_map[:].grid.grid_subset[:].element, 1...N, 1...N]	FLT_3D (uncertain)	mixed	Covariant metric tensor, given on each element of the subgrid (first dimension)
tf.field_map[:].grid.grid_subset[:].dimension (alpha)		INT_0D		Space dimension of the grid subset elements, using the convention 1=nodes, 2=edges, 3=faces, 4=cells/volumes
tf.field_map[:].grid.grid_subset[:].element (alpha)	[1...N]	STRUCT_ARRAY		Set of elements defining the grid subset. An element is defined by a combination of objects from potentially all spaces
tf.field_map[:].grid.grid_subset[:].element[:].object (alpha)	[1...N]	STRUCT_ARRAY		Set of objects defining the element
tf.field_map[:].grid.grid_subset[:].element[:].object[:].dimension (alpha)		INT_0D		Dimension of the object - using the convention 1=nodes, 2=edges, 3=faces, 4=cells/volumes
tf.field_map[:].grid.grid_subset[:].element[:].object[:].index (alpha)		INT_0D		Object index
tf.field_map[:].grid.grid_subset[:].element[:].object[:].space (alpha)		INT_0D		Index of the space from which that object is taken
tf.field_map[:].grid.grid_subset[:].identifier (alpha)		STRUCTURE		Grid subset identifier 0) unspecified : unspecified 1) nodes : All nodes (0D) belonging to the associated spaces, implicit declaration (no need to replicate the grid elements in the grid_subset structure). In case of a structured grid represented with multiple 1D spaces, the order of the implicit elements in the grid_subset follows Fortran ordering, i.e. iterate always on nodes of the first space first, then move to the second node of the second space, ... : [((s1_1 to s1_end), s2_1, s3_1 ... sN_1), (((s1_1 to s1_end), s2_2, s3_1, ... sN_1)), ... ((s1_1 to s1_end), s2_end, s3_end ... sN_end)] 2) edges : All edges (1D) belonging to the associated spaces, implicit declaration (no need to replicate the grid elements in the grid_subset structure) 3) x_aligned_edges : All x-aligned (poloidally) aligned edges belonging to the associated spaces 4) y_aligned_edges : All y-aligned (radially) aligned edges belonging to the associated spaces 5) cells : All cells (2D) belonging to the associated spaces, implicit declaration (no need to replicate the grid elements in the grid_subset structure) 6) x_points : Nodes defining x-points 7) core_cut : y-aligned edges inside the separatrix connecting to the active x-point 8) PFR_cut : y-aligned edges in the private flux region connecting to the active x-point 9) outer_throat : y-aligned edges in the outer SOL connecting to the active x-point 10) inner_throat : y-aligned edges in the inner SOL connecting to the active x-point 11) outer_midplane : y-aligned edges connecting to the node closest to outer midplane on the separatrix 12) inner_midplane : y-aligned edges connecting to the node closest to inner midplane on the separatrix 13) outer_target : y-aligned edges defining the outer target 14) inner_target : y-aligned edges defining the inner target 15) core_boundary : Innermost x-aligned edges 16) separatrix : x-aligned edges defining the active separatrix 17) main_chamber_wall : x-aligned edges defining main chamber wall outside of the divertor regions 18) outer_baffle : x-aligned edges defining the chamber wall of the outer active divertor region 19) inner_baffle : x-aligned edges defining the chamber wall of the inner active divertor region 20) outer_PFR_wall : x-aligned edges defining the private flux region wall of the outer active divertor region 21) inner_PFR_wall : x-aligned edges defining the private flux region wall of the inner active divertor region 22) core : Cells inside the active separatrix 23) sol : Cells defining the main SOL outside of the divertor regions 24) outer_divertor : Cells defining the outer divertor region 25) inner_divertor : Cells defining the inner divertor region 26) core_sol : x-aligned edges defining part of active separatrix separating core and sol 27) full_main_chamber_wall : main_chamber_wall + outer_baffle(s) + inner_baffle(s) 28) full_PFR_wall : outer_PFR__wall(s) + inner_PFR_wall(s) 29) core_cut_X2 : y-aligned edges inside the separatrix connecting to the non-active x-point 30) PFR_cut_X2 : y-aligned edges in the private flux region connecting to the non-active x-point 31) outer_throat_X2 : y-aligned edges in the outer SOL connecting to the non-active x-point 32) inner_throat_X2 : y-aligned edges in the inner SOL connecting to the non-active x-point 33) separatrix_2 : x-aligned edges defining the non-active separatrix 34) outer_baffle_2 : x-aligned edges defining the chamber wall of the outer non-active divertor region 35) inner_baffle_2 : x-aligned edges defining the chamber wall of the inner non-active divertor region 36) outer_PFR_wall_2 : x-aligned edges defining the private flux region wall of the outer non-active divertor region 37) inner_PFR_wall_2 : x-aligned edges defining the private flux region wall of the inner non-active divertor region 38) intra_sep : Cells between the two separatrices 39) outer_divertor_2 : Cells defining the outer inactive divertor region 40) inner_divertor_2 : Cells defining the inner inactive divertor region 41) outer_target_2 : y-aligned edges defining the outer inactive target 42) inner_target_2 : y-aligned edges defining the inner inactive target 43) volumes : All volumes (3D) belonging to the associated spaces, implicit declaration (no need to replicate the grid elements in the grid_subset structure) 44) full_wall : All edges defining walls, baffles, and targets 45) outer_sf_leg_entrance_1 : y-aligned edges defining the SOL entrance of the first snowflake outer leg 46) outer_sf_leg_entrance_2 : y-aligned edges defining the SOL entrance of the third snowflake outer leg 47) outer_sf_pfr_connection_1 : y-aligned edges defining the connection between the outer snowflake entrance and third leg 48) outer_sf_pfr_connection_2 : y-aligned edges defining the connection between the outer snowflake first and second leg 100) magnetic_axis : Point corresponding to the magnetic axis 101) outer_mid_plane_separatrix : Point on active separatrix at outer mid-plane 102) inner_mid_plane_separatrix : Point on active separatrix at inner mid-plane 103) outer_target_separatrix : Point on active separatrix at outer active target 104) inner_target_separatrix : Point on active separatrix at inner active target 105) outer_target_separatrix_2 : Point on non-active separatrix at outer non-active target 106) inner_target_separatrix_2 : Point on non-active separatrix at inner non-active target
tf.field_map[:].grid.grid_subset[:].identifier.description (alpha)		STR_0D		Verbose description
tf.field_map[:].grid.grid_subset[:].identifier.index (alpha)		INT_0D		Integer identifier (enumeration index within a list). Private identifier values must be indicated by a negative index.
tf.field_map[:].grid.grid_subset[:].identifier.name (alpha)		STR_0D		Short string identifier
tf.field_map[:].grid.grid_subset[:].metric (alpha)		STRUCTURE		Metric of the canonical frame onto Cartesian coordinates
tf.field_map[:].grid.grid_subset[:].metric.jacobian (alpha)	[tf.field_map[:].grid.grid_subset[:].element]	FLT_1D (uncertain)	mixed	Metric Jacobian
tf.field_map[:].grid.grid_subset[:].metric.tensor_contravariant (alpha)	[tf.field_map[:].grid.grid_subset[:].element, 1...N, 1...N]	FLT_3D (uncertain)	mixed	Contravariant metric tensor, given on each element of the subgrid (first dimension)
tf.field_map[:].grid.grid_subset[:].metric.tensor_covariant (alpha)	[tf.field_map[:].grid.grid_subset[:].element, 1...N, 1...N]	FLT_3D (uncertain)	mixed	Covariant metric tensor, given on each element of the subgrid (first dimension)
tf.field_map[:].grid.identifier (alpha)		STRUCTURE		Grid identifier 0) unspecified : unspecified 1) linear : Linear 2) cylinder : Cylindrical geometry (straight in axial direction) 3) limiter : Limiter 4) SN : Single null 5) CDN : Connected double null 6) DDN_bottom : Disconnected double null with inner X-point below the midplane 7) DDN_top : Disconnected double null with inner X-point above the midplane 8) annulus : Annular geometry (not necessarily with straight axis) 9) stellarator_island : Stellarator island geometry 10) structured_spaces : Structured grid represented with multiple spaces of dimension 1 11) LFS_snowflake_minus : Snowflake grid with secondary x point on the low field side, and the secondary separatrix on top of the primary 12) LFS_snowflake_plus : Snowflake grid with secondary x point to the right of the primary, and the secondary separatrix below the primary 100) reference : Refers to a GGD described in another IDS indicated by grid_path. In such a case, do not fill the grid_ggd node of this IDS
tf.field_map[:].grid.identifier.description (alpha)		STR_0D		Verbose description
tf.field_map[:].grid.identifier.index (alpha)		INT_0D		Integer identifier (enumeration index within a list). Private identifier values must be indicated by a negative index.
tf.field_map[:].grid.identifier.name (alpha)		STR_0D		Short string identifier
tf.field_map[:].grid.path (alpha)		STR_0D		Path of the grid, including the IDS name, in case of implicit reference to a grid_ggd node described in another IDS. To be filled only if the grid is not described explicitly in this grid_ggd structure. Example syntax: 'wall:0/description_ggd(1)/grid_ggd', means that the grid is located in the wall IDS, occurrence 0, with ids path 'description_ggd(1)/grid_ggd'. See the link below for more details about IDS paths
tf.field_map[:].grid.space (alpha)	[1...N]	STRUCT_ARRAY		Set of grid spaces
tf.field_map[:].grid.space[:].coordinates_type (alpha)	[1...N]	INT_1D		Type of coordinates describing the physical space, for every coordinate of the space. The size of this node therefore defines the dimension of the space. The meaning of these predefined integer constants can be found in the Data Dictionary under utilities/coordinate_identifier.xml
tf.field_map[:].grid.space[:].geometry_type (alpha)		STRUCTURE		Type of space geometry (0: standard, 1:Fourier, >1: Fourier with periodicity)
tf.field_map[:].grid.space[:].geometry_type.description (alpha)		STR_0D		Verbose description
tf.field_map[:].grid.space[:].geometry_type.index (alpha)		INT_0D		Integer identifier (enumeration index within a list). Private identifier values must be indicated by a negative index.
tf.field_map[:].grid.space[:].geometry_type.name (alpha)		STR_0D		Short string identifier
tf.field_map[:].grid.space[:].identifier (alpha)		STRUCTURE		Space identifier 0) unspecified : unspecified 1) primary_standard : Primary space defining the standard grid 2) primary_staggered : Primary space defining a grid staggered with respect to the primary standard space 3) secondary_structured : Secondary space defining additional dimensions that extend the primary standard space in a structured way
tf.field_map[:].grid.space[:].identifier.description (alpha)		STR_0D		Verbose description
tf.field_map[:].grid.space[:].identifier.index (alpha)		INT_0D		Integer identifier (enumeration index within a list). Private identifier values must be indicated by a negative index.
tf.field_map[:].grid.space[:].identifier.name (alpha)		STR_0D		Short string identifier
tf.field_map[:].grid.space[:].objects_per_dimension (alpha)	[1...N]	STRUCT_ARRAY		Definition of the space objects for every dimension (from one to the dimension of the highest-dimensional objects). The index correspond to 1=nodes, 2=edges, 3=faces, 4=cells/volumes, .... For every index, a collection of objects of that dimension is described.
tf.field_map[:].grid.space[:].objects_per_dimension[:].geometry_content (alpha)		STRUCTURE		Content of the ../object/geometry node for this dimension 0) unspecified : unspecified 1) node_coordinates : For nodes : node coordinates 11) node_coordinates_connection : For nodes : node coordinates, then connection length, and distance in the poloidal plane to the nearest solid surface outside the separatrix 21) edge_areas : For edges : contains 3 surface areas after uniform extension in the third dimension of the edges. Geometry(1) and geometry(2) are the projections of that area along the local poloidal and radial coordinate respectively. Geometry(3) is the full surface area of the extended edge 31) face_indices_volume : For faces : coordinates indices (ix, iy) of the face within the structured grid of the code. The third element contains the volume after uniform extension in the third dimension of the faces 32) face_indices_volume_connection : For faces : coordinates indices (ix, iy) of the face within the structured grid of the code. The third element contains the volume after uniform extension in the third dimension of the faces. The fourth element is the connection length. The fifth element is the distance in the poloidal plane to the nearest solid surface outside the separatrix
tf.field_map[:].grid.space[:].objects_per_dimension[:].geometry_content.description (alpha)		STR_0D		Verbose description
tf.field_map[:].grid.space[:].objects_per_dimension[:].geometry_content.index (alpha)		INT_0D		Integer identifier (enumeration index within a list). Private identifier values must be indicated by a negative index.
tf.field_map[:].grid.space[:].objects_per_dimension[:].geometry_content.name (alpha)		STR_0D		Short string identifier
tf.field_map[:].grid.space[:].objects_per_dimension[:].object (alpha)	[1...N]	STRUCT_ARRAY		Set of objects for a given dimension
tf.field_map[:].grid.space[:].objects_per_dimension[:].object[:].boundary (alpha)	[1...N]	STRUCT_ARRAY		Set of (n-1)-dimensional objects defining the boundary of this n-dimensional object
tf.field_map[:].grid.space[:].objects_per_dimension[:].object[:].boundary[:].index (alpha)		INT_0D		Index of this (n-1)-dimensional boundary object
tf.field_map[:].grid.space[:].objects_per_dimension[:].object[:].boundary[:].neighbours (alpha)	[1...N]	INT_1D		List of indices of the n-dimensional objects adjacent to the given n-dimensional object. An object can possibly have multiple neighbours on a boundary
tf.field_map[:].grid.space[:].objects_per_dimension[:].object[:].geometry (alpha)	[1...N]	FLT_1D (uncertain)	mixed	Geometry data associated with the object, its detailed content is defined by ../../geometry_content. Its dimension depends on the type of object, geometry and coordinate considered.
tf.field_map[:].grid.space[:].objects_per_dimension[:].object[:].geometry_2d (alpha)	[1...N, 1...N]	FLT_2D (uncertain)	mixed	2D geometry data associated with the object. Its dimension depends on the type of object, geometry and coordinate considered. Typically, the first dimension represents the object coordinates, while the second dimension would represent the values of the various degrees of freedom of the finite element attached to the object.
tf.field_map[:].grid.space[:].objects_per_dimension[:].object[:].measure (alpha)		FLT_0D (uncertain)	m^dimension	Measure of the space object, i.e. physical size (length for 1d, area for 2d, volume for 3d objects,...)
tf.field_map[:].grid.space[:].objects_per_dimension[:].object[:].nodes (alpha)	[1...N]	INT_1D		List of nodes forming this object (indices to objects_per_dimension(1)%object(:) in Fortran notation)
tf.field_map[:].time (alpha)		FLT_0D	s	Time
tf.ids_properties (alpha)		STRUCTURE		Interface Data Structure properties. This element identifies the node above as an IDS
tf.ids_properties.comment (alpha)		STR_0D		Any comment describing the content of this IDS
tf.ids_properties.creation_date (alpha)		STR_0D		Date at which this data has been produced
tf.ids_properties.homogeneous_time (alpha)		INT_0D		This node must be filled (with 0, 1, or 2) for the IDS to be valid. If 1, the time of this IDS is homogeneous, i.e. the time values for this IDS are stored in the time node just below the root of this IDS. If 0, the time values are stored in the various time fields at lower levels in the tree. In the case only constant or static nodes are filled within the IDS, homogeneous_time must be set to 2
tf.ids_properties.name (alpha)		STR_0D		User-defined name for this IDS occurrence
tf.ids_properties.occurrence		INT_0D
tf.ids_properties.occurrence_type (alpha)		STRUCTURE		Type of data contained in this occurrence 1) reconstruction : Equilibrium reconstruction 2) prediction_fixed : Equilibrium prediction, fixed boundary 3) prediction_free : Equilibrium prediction, free boundary 4) mapping : Used for mapping equilibrium results from one grid type / resolution to another, or for including variables not present in the first set such as the calculation of magnetic field of other derived parameters
tf.ids_properties.occurrence_type.description (alpha)		STR_0D		Verbose description
tf.ids_properties.occurrence_type.index (alpha)		INT_0D		Integer identifier (enumeration index within a list). Private identifier values must be indicated by a negative index.
tf.ids_properties.occurrence_type.name (alpha)		STR_0D		Short string identifier
tf.ids_properties.plugins (alpha)		STRUCTURE		Information about the plugins used to write/read this IDS. This structure is filled automatically by the Access Layer at GET/PUT time, no need to fill it via a user program.
tf.ids_properties.plugins.infrastructure_get (alpha)		STRUCTURE		Plugin infrastructure used to GET the data
tf.ids_properties.plugins.infrastructure_get.commit (alpha)		STR_0D		Unique commit reference of software
tf.ids_properties.plugins.infrastructure_get.description (alpha)		STR_0D		Short description of the software (type, purpose)
tf.ids_properties.plugins.infrastructure_get.name (alpha)		STR_0D		Name of software used
tf.ids_properties.plugins.infrastructure_get.repository (alpha)		STR_0D		URL of software repository
tf.ids_properties.plugins.infrastructure_get.version (alpha)		STR_0D		Unique version (tag) of software
tf.ids_properties.plugins.infrastructure_put (alpha)		STRUCTURE		Plugin infrastructure used to PUT the data
tf.ids_properties.plugins.infrastructure_put.commit (alpha)		STR_0D		Unique commit reference of software
tf.ids_properties.plugins.infrastructure_put.description (alpha)		STR_0D		Short description of the software (type, purpose)
tf.ids_properties.plugins.infrastructure_put.name (alpha)		STR_0D		Name of software used
tf.ids_properties.plugins.infrastructure_put.repository (alpha)		STR_0D		URL of software repository
tf.ids_properties.plugins.infrastructure_put.version (alpha)		STR_0D		Unique version (tag) of software
tf.ids_properties.plugins.node (alpha)	[1...N]	STRUCT_ARRAY		Set of IDS nodes for which a plugin has been applied
tf.ids_properties.plugins.node[:].get_operation (alpha)	[1...N]	STRUCT_ARRAY		Plugins actually used to read back a node (potentially, multiple plugins can be applied, listed in reverse order of application). This information is filled by the plugin infrastructure during the GET operation.
tf.ids_properties.plugins.node[:].get_operation[:].commit (alpha)		STR_0D		Unique commit reference of software
tf.ids_properties.plugins.node[:].get_operation[:].description (alpha)		STR_0D		Short description of the software (type, purpose)
tf.ids_properties.plugins.node[:].get_operation[:].name (alpha)		STR_0D		Name of software used
tf.ids_properties.plugins.node[:].get_operation[:].parameters (alpha)		STR_0D		List of the code specific parameters in XML format
tf.ids_properties.plugins.node[:].get_operation[:].repository (alpha)		STR_0D		URL of software repository
tf.ids_properties.plugins.node[:].get_operation[:].version (alpha)		STR_0D		Unique version (tag) of software
tf.ids_properties.plugins.node[:].path (alpha)		STR_0D		Path of the node within the IDS, following the syntax given in the link below. If empty, means the plugin applies to the whole IDS.
tf.ids_properties.plugins.node[:].put_operation (alpha)	[1...N]	STRUCT_ARRAY		Plugins used to PUT a node (potentially, multiple plugins can be applied, if so they are listed by order of application)
tf.ids_properties.plugins.node[:].put_operation[:].commit (alpha)		STR_0D		Unique commit reference of software
tf.ids_properties.plugins.node[:].put_operation[:].description (alpha)		STR_0D		Short description of the software (type, purpose)
tf.ids_properties.plugins.node[:].put_operation[:].name (alpha)		STR_0D		Name of software used
tf.ids_properties.plugins.node[:].put_operation[:].parameters (alpha)		STR_0D		List of the code specific parameters in XML format
tf.ids_properties.plugins.node[:].put_operation[:].repository (alpha)		STR_0D		URL of software repository
tf.ids_properties.plugins.node[:].put_operation[:].version (alpha)		STR_0D		Unique version (tag) of software
tf.ids_properties.plugins.node[:].readback (alpha)	[1...N]	STRUCT_ARRAY		Plugins to be used to read back a node (potentially, multiple plugins can be applied, listed in reverse order of application)
tf.ids_properties.plugins.node[:].readback[:].commit (alpha)		STR_0D		Unique commit reference of software
tf.ids_properties.plugins.node[:].readback[:].description (alpha)		STR_0D		Short description of the software (type, purpose)
tf.ids_properties.plugins.node[:].readback[:].name (alpha)		STR_0D		Name of software used
tf.ids_properties.plugins.node[:].readback[:].parameters (alpha)		STR_0D		List of the code specific parameters in XML format
tf.ids_properties.plugins.node[:].readback[:].repository (alpha)		STR_0D		URL of software repository
tf.ids_properties.plugins.node[:].readback[:].version (alpha)		STR_0D		Unique version (tag) of software
tf.ids_properties.provenance (alpha)		STRUCTURE		Provenance information about this IDS
tf.ids_properties.provenance.node (alpha)	[1...N]	STRUCT_ARRAY		Set of IDS nodes for which the provenance is given. The provenance information applies to the whole structure below the IDS node. For documenting provenance information for the whole IDS, set the size of this array of structure to 1 and leave the child "path" node empty
tf.ids_properties.provenance.node[:].path (alpha)		STR_0D		Path of the node within the IDS, following the syntax given in the link below. If empty, means the provenance information applies to the whole IDS.
tf.ids_properties.provenance.node[:].sources (alpha)	[1...N]	STR_1D		List of sources used to import or calculate this node, identified as explained below. In case the node is the result of of a calculation / data processing, the source is an input to the process described in the "code" structure at the root of the IDS. The source can be an IDS (identified by a URI or a persitent identifier, see syntax in the link below) or non-IDS data imported directly from an non-IMAS database (identified by the command used to import the source, or the persistent identifier of the data source). Often data are obtained by a chain of processes, however only the last process input are recorded here. The full chain of provenance has then to be reconstructed recursively from the provenance information contained in the data sources.
tf.ids_properties.provider (alpha)		STR_0D		Name of the person in charge of producing this data
tf.ids_properties.source (obsolescent)		STR_0D		Source of the data (any comment describing the origin of the data : code, path to diagnostic signals, processing method, ...). Superseeded by the new provenance structure.
tf.ids_properties.version_put (alpha)		STRUCTURE		Version of the access layer package used to PUT this IDS
tf.ids_properties.version_put.access_layer (alpha)		STR_0D		Version of Access Layer used to PUT this IDS
tf.ids_properties.version_put.access_layer_language (alpha)		STR_0D		Programming language of the Access Layer high level API used to PUT this IDS
tf.ids_properties.version_put.data_dictionary (alpha)		STR_0D		Version of Data Dictionary used to PUT this IDS
tf.is_periodic (alpha)		INT_0D		Flag indicating whether coils are described one by one in the coil() structure (flag=0) or whether the coil structure represents only coils having different characteristics (flag = 1, n_coils must be filled in that case). In the latter case, the coil() sequence is repeated periodically around the torus.
tf.latency (alpha)		FLT_0D (uncertain)	s	Upper bound of the delay between input command received from the RT network and actuator starting to react. Applies globally to the system described by this IDS unless specific latencies (e.g. channel-specific or antenna-specific) are provided at a deeper level in the IDS structure.
tf.r0 (alpha)		FLT_0D (uncertain)	m	Reference major radius of the device (from the official description of the device). This node is the placeholder for this official machine description quantity (typically the middle of the vessel at the equatorial midplane, although the exact definition may depend on the device)
tf.time (alpha)	[1...N]	FLT_1D_TYPE	s	Generic time